contract - engineer, data scientist (ntd)

applied ai engineer ii

data engineer ii

contract - engineer, data scientist (ntd) Jobs in Redmond

data engineer (starlink growth) Jobs in Redmond

data engineer (starlink growth)

data scientist ii

data engineer

Microsoft

<div>Overview<div> 
Shape the future of Surface by building the data backbone that powers insights, innovation, and customer delight. The Surface insights and intelligent experiences team drives strategic insights and innovation across Microsoft by transforming complex data into actionable intelligence and customer facing experiences. By connecting data, technology, and business priorities, the team ensures Microsoft stays ahead in delivering value at global scale.
As a Data Engineer II in the data services team, you will design and build scalable data pipelines, optimize data flows, and ensure the integrity and availability of mission-critical datasets. You&rsquo;ll partner closely with data science, analytics, product, and engineering teams to transform data and raw telemetry into actionable insights that drive both product innovation and experiences that empower partners and customers.
This opportunity will allow you to:<ul><li>
Accelerate your career growth by working on high-impact, global-scale data systems.</li><li>
Develop deep technical expertise in modern data platforms, cloud services, and big data technologies.</li><li>
Hone your problem-solving skills by tackling complex challenges in performance, reliability, and data quality.</li></ul>
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.</div> 
Responsibilities 
<div><ul><li>
Design, build, and operate batch and streaming data pipelines that ingest from diverse sources into cloud data platforms (e.g., ADLS Gen2/Microsoft Fabric, Synapse/Azure SQL/Cosmos DB), with strong SLAs and observability.</li><li>
Develop services and APIs that expose curated datasets and features to downstream applications and ML/analytics scenarios; contribute to backend components, testing, and performance tuning.</li><li>
Harden security and networking for data workloads (e.g., private endpoints, VNet/VPN integration, role‑based access, key management), partnering with security and networking teams.</li><li>
Automate and productize: apply DevOps/DataOps (GitHub/Azure DevOps, CI/CD, IaC such as Bicep/Terraform) to deliver reliable releases, repeatable environments, and cost‑efficient operations.</li><li>
Collaborate &amp; document: write design docs, review code, and work cross‑functionally with PMs, data scientists, and stakeholders.</li></ul></div> 

Qualifications 
Required Qualifications:<ul><li>
Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, software development, data modeling, or data engineering<ul><li>
OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, software development, data modeling, or data engineering</li><li>
OR equivalent experience.</li></ul></li></ul>
Preferred qualification:<ul><li>
3&ndash;5+ years building and operating data platforms/services at scale (batch + streaming), including cost management and observability (e.g., Azure Monitor/Log Analytics/Azure Data Explorer).</li><li>
Experience developing back‑end services/APIs (REST/gRPC), event‑driven patterns, and containerization (Docker/Kubernetes).</li><li>
Hands‑on with lakehouse (e.g., Delta/Parquet) and warehouse paradigms; dimensional/semantic modeling; BI enablement (e.g., Power BI/Fabric DW).</li><li>
IaC (Bicep/Terraform), pipeline orchestration (Fabric Data Factory/Synapse/ADF), testing frameworks (unit/integration/data quality).</li></ul> 
#W+DJOBS 

 
 
Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: 
https://careers.microsoft.com/us/en/us-corporate-pay 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.</div>

Data Engineer II

<div>
 
 Overview
 
 
 
 Shape the future of Surface by building the data backbone that powers insights, innovation, and customer delight. The Surface insights and intelligent experiences team drives strategic insights and innovation across Microsoft by transforming complex data into actionable intelligence and customer facing experiences. By connecting data, technology, and business priorities, the team ensures Microsoft stays ahead in delivering value at global scale.
 
 
 As a
 
 Data Engineer II
 
 in the data services team, you will design and build scalable data pipelines, optimize data flows, and ensure the integrity and availability of mission-critical datasets. You&rsquo;ll partner closely with data science, analytics, product, and engineering teams to transform data and raw telemetry into actionable insights that drive both product innovation and experiences that empower partners and customers.
 
 
 
 This Opportunity Will Allow You To
 
 
 
 <ul>
 <li>
 Accelerate your career growth by working on high-impact, global-scale data systems.
 </li>
 <li>
 Develop deep technical expertise in modern data platforms, cloud services, and big data technologies.
 </li>
 <li>
 Hone your problem-solving skills by tackling complex challenges in performance, reliability, and data quality.
 
 
 </li>
 </ul>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and operate batch and streaming data pipelines that ingest from diverse sources into cloud data platforms (e.g., ADLS Gen2/Microsoft Fabric, Synapse/Azure SQL/Cosmos DB), with strong SLAs and observability.
 </li>
 <li>
 Develop services and APIs that expose curated datasets and features to downstream applications and ML/analytics scenarios; contribute to backend components, testing, and performance tuning.
 </li>
 <li>
 Harden security and networking for data workloads (e.g., private endpoints, VNet/VPN integration, role‑based access, key management), partnering with security and networking teams.
 </li>
 <li>
 Automate and productize: apply DevOps/DataOps (GitHub/Azure DevOps, CI/CD, IaC such as Bicep/Terraform) to deliver reliable releases, repeatable environments, and cost‑efficient operations.
 </li>
 <li>
 Collaborate &amp; document: write design docs, review code, and work cross‑functionally with PMs, data scientists, and stakeholders.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ year(s) experience in business analytics, data science, software development, data modeling, or data engineering
 </li>
 <ul>
 <li>
 OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 2+ years experience in business analytics, data science, software development, data modeling, or data engineering
 </li>
 <li>
 OR equivalent experience.
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualification
 
 
 
 <ul>
 <li>
 3&ndash;5+ years building and operating data platforms/services at scale (batch + streaming), including cost management and observability (e.g., Azure Monitor/Log Analytics/Azure Data Explorer).
 </li>
 <li>
 Experience developing back‑end services/APIs (REST/gRPC), event‑driven patterns, and containerization (Docker/Kubernetes).
 </li>
 <li>
 Hands‑on with lakehouse (e.g., Delta/Parquet) and warehouse paradigms; dimensional/semantic modeling; BI enablement (e.g., Power BI/Fabric DW).
 </li>
 <li>
 IaC (Bicep/Terraform), pipeline orchestration (Fabric Data Factory/Synapse/ADF), testing frameworks (unit/integration/data quality).
 
 
 </li>
 </ul>
 #W+DJOBS
 
 
 Data Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
 
 
 Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
 
 
 https://careers.microsoft.com/us/en/us-corporate-pay
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

SpaceX

<div>
 SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars.
 
 
 
 DATA ENGINEER (STARLINK GROWTH)
 
 
 
 At SpaceX, we are leveraging our experience in building rockets and spacecraft to deploy Starlink, the world&rsquo;s most advanced broadband internet system. Starlink is the world&rsquo;s largest satellite constellation and is providing fast, reliable internet to 8M+ users worldwide. We design, build, test, and operate all parts of the system &ndash; thousands of satellites, consumer receivers that allow users to connect within minutes of unboxing, and the software that brings it all together. We&rsquo;ve only begun to scratch the surface of Starlink&rsquo;s potential global impact and are looking for best-in-class engineers to rapidly accelerate our growth around the globe.
 
 
 As a Data Engineer in the Starlink Growth Analytics &amp; Automation Team, you will be responsible for developing the strategy, key metrics, tools, models, and processes for assessing the health of Starlink business. You will extract valuable insights from data across all business units and the Starlink network itself. You will work closely with technical and business teams to make customer acquisition as efficient as possible. You will bring in the latest and greatest machine learning and statistical technologies to turn data insights into action and autonomous applications.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build high-visibility, high-confidence, statistically-based dashboards and analytics tools to uncover new or breaking trends in customer growth or experience.
 </li>
 <li>
 Transform insights into action items for business and engineering teams, based on statistically-driven evidence.
 </li>
 <li>
 Develop and implement monitoring systems and strategies to quickly detect trends and regressions as they arise.
 </li>
 <li>
 Work closely with software and production teams to optimize user experience.
 </li>
 <li>
 Develop and validate models to forecast customer acquisition.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, physics, mathematics, statistics, or a STEM discipline
 </li>
 <li>
 1+ years of professional experience building solutions with Python and SQL
 </li>
 <li>
 1+ years of professional experience with statistical modeling and machine learning algorithms
 
 
 </li>
 </ul>
 
 Preferred Skills And Experience
 
 
 
 <ul>
 <li>
 1+ years of professional experience in analytics, data science, or machine learning
 </li>
 <li>
 Experience building predictive models and machine learning pipelines (clustering analysis, anomaly detection, survival analysis, time series models)
 </li>
 <li>
 Experience with data visualization skills, including experience in geospatial data representations
 </li>
 <li>
 Excellent verbal and written communication skills
 </li>
 <li>
 Experience with developing and deploying tools used for data analysis, machine learning, and statistical modeling
 </li>
 <li>
 Demonstrated capability to parse technical subjects on a deep level
 </li>
 <li>
 Demonstrated ability to jump into ill-defined problem spaces and drive positive outcomes
 </li>
 <li>
 Self-starter attitude, energy, and the ability to communicate effectively across business and technical disciplines
 </li>
 <li>
 Experience designing and utilizing relational database (SQL)
 </li>
 <li>
 Background in statistics or computational physics
 
 
 </li>
 </ul>
 
 Additional Requirements
 
 
 
 <ul>
 <li>
 Must be willing to work extended hours and weekends as needed
 
 
 </li>
 </ul>
 
 Compensation And Benefits
 
 
 
 Pay range:
 
 
 Level I: $122,500.00 - $145,000.00/per year
 
 
 Level II: $140,000.00 - $170,000.00/per year
 
 
 Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
 
 
 Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees in Washington State accrue paid sick time in compliance with state and federal law. Company shuttles are offered to employees for roundtrip travel from select Seattle locations to the SpaceX Redmond office Monday to Friday.
 
 
 
 Itar Requirements
 
 
 
 <ul>
 <li>
 To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C.
 </li>
 <li>
 1157, or (iv) Asylee under 8 U.S.C.
 </li>
 <li>
 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
 
 
 </li>
 </ul>
 SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.
 
 
 Applicants wishing to view a copy of SpaceX&rsquo;s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com
 
 .
 
</div>

Data Engineer (Starlink Growth)

<div>Overview 
Are you an engineer who loves pairing strong product instincts with AI, machine learning, and bringing meaningful UX interactions to life with craft and precision? This role works in a people-centric, culture-first environment alongside designers, product partners, engineers, strategists, and writers to design and build modern experiences that make intelligent systems feel clear, trustworthy, and human.
We&rsquo;re a forward-looking team passionate about building innovative technology and shipping delightful experiences&mdash;especially where AI changes what products can do. We invest in rapid prototyping, model tuning and evaluation, data experiments, and AI-related explorations to help explore the future of intelligent Microsoft products. Our team brings diverse backgrounds in multiple disciplines, from engineering, design, or research to behavioral sciences or medicine; we come in all shapes and sizes. We love pushing boundaries and helping evolve Microsoft&rsquo;s products. Our current focus is on Copilot in the M365 Enterprise world.
We're looking for a Senior UX Data Engineer who is self-driven, focused on machine learning, and cares about bringing thoughtful product design to life. You can turn ideas into interactive experiences, learn new tools quickly, and are comfortable exploring the unknown. You value strong engineering practices and know how to collaborate across design and product.
You contribute openly, prototype or experiment to learn, share feedback generously, and help raise the quality of the team&rsquo;s work. You are curious, adaptable, and motivated to build experiences that make a real impact.
If you&rsquo;re looking for a change and wanting to make an impact &ndash; we invite you to join us in our mission and vision to build the future of UX for Microsoft. 
Responsibilities 
<ul><li>
Design and run applied science and/or machine learning experiments to explore new ideas and validate hypotheses</li><li>
Conduct research on state-of-the-art technologies, methodologies, and emerging trends</li><li>
Translate concepts into working prototypes through code</li><li>
Provide thoughtful, constructive feedback and propose creative, practical solutions</li><li>
Communicate insights, decisions, and results clearly and concisely to cross-functional partners</li><li>
Contribute to publications, technical reports, and knowledge-sharing initiatives</li></ul> 

Qualifications 
<h2 class="jobSectionHeader">
Required Qualifications:</h2><ul><li>
Master's Degree in Computer Science, Software Engineering, Graphic Design, Product Design, Visual Design, Human Computer Interaction, or related field AND 3+ years experience working in product or service design and/or shipping production code
<ul><li>OR Bachelor's Degree in Computer Science, Software Engineering, Graphic Design, Product Design, Visual Design, Human Computer Interaction, or related field AND 4+ years experience working in product or service design and/or shipping production code
</li><li>OR equivalent experience.</li></ul></li></ul>
Other Requirements:<ul><li>
GitHub, CodePen, or other links showcasing coding skills OR portfolio is required with application submission.</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications:</h2><ul><li>
Python coding skills and experience with ML frameworks such as PyTorch or TensorFlow</li><li>
Experience working with LLMs, including prompt design, tool and function calling, retrieval strategies (RAG), and multi-step agent orchestration</li><li>
Experience building machine learning pipelines for model quality, optimizations, evaluations, integrations, or UX outcomes (e.g., rubric-based human evals, offline test sets, experiment design, and/or A/B testing), and using results to iterate on both UX and implementation</li><li>
Ability to build and iterate on ML pipelines, integrating insights back into product and experience design</li><li>
Proficiency in data analysis and experimentation to inform product decisions</li><li>
Foundations in linear algebra, calculus, and probability and statistics</li><li>
Familiarity with MLOps and experiment tracking tools like MLflow, Kubeflow, Weights and Biases or equivalent</li><li>
Understanding of production ML requirements, with a track record of mitigating risk and downstream impact</li><li>
Experience with cloud AI and ML services</li><li>
Interest in human-computer interaction, behavioral psychology, and trust in intelligent systems</li><li>
Mastery of at least one back-end coding language</li><li>
Experience building ML-powered product experiences</li></ul> 

 
 
UX Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: 
https://careers.microsoft.com/us/en/us-corporate-pay 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.</div>

Senior UX Data Engineer

<div>Overview 
Build community, explore your passions, and do your best work at Microsoft. We are a company of learn‑it‑alls with a growth mindset, empowering teams to innovate, collaborate, and bring their best every day.
As a Software Engineer on the Microsoft Fabric OneLake team, you&rsquo;ll help build the foundational interoperability architecture and external data onboarding infrastructure for Fabric&rsquo;s unified data lake. OneLake is the core data layer of Microsoft Fabric, providing a single, governed, and scalable data platform for the enterprise. Our team designs and operates highly scalable, distributed systems that define how external partners and ISVs integrate with Fabric, enabling seamless, secure, and high‑performance data access across the ecosystem.
You&rsquo;ll develop extensible, maintainable backend services that power open APIs, service interoperability, and large‑scale data access. Working closely with cross‑functional partners, you&rsquo;ll translate customer and ecosystem needs into high‑quality solutions, apply modern debugging and telemetry practices, and contribute to systems that meet Microsoft&rsquo;s standards for scalability, reliability, security, privacy, and accessibility.
Learn more:<ul><li>
OneLake Overview</li><li>
Microsoft Fabric Overview</li></ul> 

Responsibilities 
<div><ul><li>
Collaborates with stakeholders to break work items into actionable tasks, provide estimates, and escalate risks or delays.</li><li>
Supports feature deployments with a focus on reliability and customer impact.</li><li>
Designs, implements, and maintains backend services and APIs that enable scalable interoperability and external data onboarding across OneLake and the Fabric ecosystem; applies coding standards and participates in code reviews.</li><li>
Uses debugging tools, logs, and telemetry to diagnose issues, improves performance and reliability, and informs design decisions in large‑scale distributed systems.</li><li>
Contributes to design documentation, dependency analysis, testing strategies, and automation.</li><li>
Participates in live service operations as a Designated Responsible Individual (DRI) to monitor and restore service health while meeting security, privacy, safety, and accessibility standards.</li></ul></div> 

Qualifications 
<div>
Required Qualifications</div><div><ul><li>
Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C#, C, C++, C#, Java, JavaScript, or Python,<ul><li>
OR equivalent experience.</li></ul></li></ul></div><div>
Other Requirements</div><div>
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:</div><div><ul><li>
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.</li></ul></div><div>
Preferred Qualifications</div><div><ul><li>
Bachelor's Degree in Computer Science, or related technical field, AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C#, C, C++, C#, Java, JavaScript, or Python,<ul><li>
OR Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C++, C#, Java, Python, Rust or Go,</li><li>
OR equivalent experience.</li></ul></li><li>
Experience with cloud computing, distributed systems, and/or scalable service architecture.</li><li>
Interest in building interoperable backend platforms.</li><li>
Experience with object‑oriented programming using C#/.NET.</li><li>
Understanding of core CS fundamentals including data structures, algorithms, API design, and service‑to‑service communication (REST).</li><li>
Familiarity with modern engineering tools and practices such as Azure, Git/GitHub, CI/CD pipelines, and observability/monitoring systems.</li></ul></div> 
 
 
Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $109,000 - $180,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: 
https://careers.microsoft.com/us/en/us-corporate-pay 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.</div>

Software Engineer: Azure Data Fabric OneLake

Nintendo

<div>Nintendo Technology Development

The worldwide pioneer in the creation of interactive entertainment, Nintendo Co., Ltd., of Kyoto, Japan, manufactures and markets hardware and software for its Nintendo Switch&trade; system and the Nintendo 3DS&trade; family of portable systems. Since 1983, when it launched the Nintendo Entertainment System&trade;, Nintendo has sold more than 4.7 billion video games and more than 740 million hardware units globally, including Nintendo Switch and the Nintendo 3DS family of systems, as well as the Game Boy&trade;, Game Boy Advance, Nintendo DS&trade; family of systems, Super NES&trade;, Nintendo 64&trade;, Nintendo GameCube&trade;, Wii&trade; and Wii U&trade; systems. It has also created industry icons that have become well-known, household names, such as Mario, Donkey Kong, Metroid, Zelda and Pok&eacute;mon. A wholly owned subsidiary, Nintendo Technology Development, based in Redmond, Washington, creates future hardware/software technology and researches North American-based technologies.

Nintendo is an equal opportunity employer. We offer a welcoming and inclusive environment in service to one another, our products, the diverse consumers we represent, and the communities we call home. We do all of this with kindness, empathy and respect for each other.
<div>
<div><div><div>DESCRIPTION OF DUTIES</div>
<ul><li>Train, evaluate, and optimize neural networks</li>
<li>Write scripts to facilitate neural network model development and use</li>
<li>Procure and clean data necessary for training and evaluating models</li>
<li>Effectively communicate with other teams, especially as it relates to domain-specific knowledge, model quality, and model performance</li>
<li>Document work according to defined processes</li>
</ul></div></div></div><div><div><div><div>SUMMARY OF REQUIREMENTS:</div>
<ul><li>3+ years of professional experience as a data scientist</li>
<li>3+ years of professional experience working with deep learning libraries (PyTorch and/or TensorFlow)</li>
<li>Proficient in Python</li>
<li>Possess strong debugging and troubleshooting skills</li>
<li>Familiar with Git workflow</li>
<li>Experience with C, C++, or C# is a plus</li>
<li>BS in CS/Applied Mathematics/Statistics/DS/ML or related field</li>
</ul> <div>This position is onsite in Redmond, WA, and not open to remote status at this time.</div></div></div></div></div>

CONTRACT - Engineer, Data Scientist (NTD)

<div>Overview 
Microsoft&rsquo;s Cloud business is expanding, and the Cloud Supply Chain (CSCP) organization is responsible for enabling the hardware infrastructure underlying this growth including AI! CSCP&rsquo;s vision is to empower customers to achieve more by delivering Cloud and AI capabilities at scale. Our mission is to deliver the world's computer with an industry-leading supply chain. The CSCP organization is responsible for traditional supply chain functions such as plan, source, make, deliver, but also manages supportability (spares), sustainability, and decommissioning of datacenter assets worldwide. We deliver the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, OneDrive and the Microsoft Azure platform for external customers. Our infrastructure is supported by more than 300 datacenters around the world that enable services for more than 1 billion customers in over 90 countries. We are looking for a Data Scientist II to join our team! 
 
Microsoft Cloud Planning (MCP) is the central planning function within CSCP focused on forecasting, demand planning, and supply planning for all Microsoft Cloud services and associated hardware, directly impacting the success of Microsoft's cloud business. 
 
Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. 
Responsibilities 
Business Impact
<ul><li>Understands customer goals, project requirements, and how data structures support business strategy.
</li><li>Supports project scoping, risk assessment, and planning while learning to identify opportunities for ML impact.
</li><li>Contributes insights from analyses that inform decisions and align with customer and organizational objectives.
</li><li>Applies a customer‑focused mindset when evaluating work, ensuring clarity in expectations, timelines, and value delivered.
</li></ul>Coding &amp; Debugging<ul><li>
Writes clear, maintainable code for features or models.
</li><li>Contributes to testing, optimization, and debugging.</li><li>
Helps document production‑ready code.</li></ul> 
Customer &amp; Partner Orientation<ul><li>
Applies customer‑focused thinking to data science work.
</li><li>Manages expectations on progress and timelines.
</li><li>Supports interpretation and communication of results.</li></ul> 
Data Preparation and Understanding<ul><li>
Assists with data collection, exploration, and quality checks.</li><li>
Cleans, transforms, and organizes data using appropriate tools.
</li><li>Follows privacy and ethics policies while identifying data issues.</li></ul> 
Evaluating for Insight &amp; Impact
<ul><li>Understands how model outputs relate to business goals.</li><li>
Helps test and evaluate models using real and test data.
</li><li>Reviews analysis choices and incorporates feedback.</li></ul> 
Modeling &amp; Statistical Analysis
<ul><li>Learns and applies core modeling techniques.</li><li>
Supports research, prototyping, and productization of ML/AI methods.</li></ul> 

Qualifications 
<ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.</li></ul> 
Other Requirements: 
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to, the following specialized security screenings: 
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. 
 
Preferred qualifications:<ul><li>
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
</li><li>4+ years of coding experience with Python OR R (Python Preferred)&ndash; (1,000 or more lines of code)</li><li>
Experience with large-scale parallel computing, PySpark and SparkR (or similar) strongly preferred.
</li><li>Prior experience using git (or similar) as a shared code repository for large projects preferred.</li><li>
Experience with Azure or similar cloud solutions preferred.
</li><li>Experience with forecasting, optimization, generative AI, or agentic AI strongly preferred.</li><li>
Strong background in statistical methods, data analysis and machine learning preferred</li></ul>
#CSCP #CSCPJobs
At Microsoft, our mission is to empower every person and organization on the planet to achieve more. We foster a culture of inclusion, growth, and innovation, built on values of respect, integrity, and accountability. If you're passionate about driving meaningful impact, solving complex problems, and contributing to a growing organization, we would love to hear from you. 
 
 
Data Science IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: 
https://careers.microsoft.com/us/en/us-corporate-pay 
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. 
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process.</div>

Data Scientist II

Explore 82+ Data engineer in Redmond this March. Find roles across top companies and apply now to boost your career.

82 data engineer jobs In Redmond

Data Engineer II

Data Engineer II

Data Engineer (Starlink Growth)

Senior UX Data Engineer

Software Engineer: Azure Data Fabric OneLake

CONTRACT - Engineer, Data Scientist (NTD)

Data Scientist II